Average consensus via max consensus∗∗This work is supported by the Framework Programme for Research and Innovation Horizon 2020 under grant agreement n. 636834(DISIRE), and the Swedish research council Norrbottens Forskningsråd.

Riccardo Lucchese; Damiano Varagnolo

doi:10.1016/j.ifacol.2015.10.307

Average consensus via max consensus∗∗This work is supported by the Framework Programme for Research and Innovation Horizon 2020 under grant agreement n. 636834(DISIRE), and the Swedish research council Norrbottens Forskningsråd.

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2015.10.307 ◽

2015 ◽

Vol 48 (22) ◽

pp. 58-63 ◽

Cited By ~ 1

Author(s):

Riccardo Lucchese ◽

Damiano Varagnolo

Keyword(s):

Research Council ◽

Framework Programme ◽

Horizon 2020 ◽

Swedish Research Council ◽

Research And Innovation ◽

Average Consensus

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Robust Quaternion-based Cooperative Manipulation without Force/Torque Information * *This work was supported by the H2020 ERC Starting Grand BU-COPHSYS, the Swedish Research Council (VR), the Knut och Alice Wallenberg Foundation and the European Union’s Horizon 2020 Research and Innovation Programme under the Grant Agreement No. 644128 (AEROWORKS).

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2017.08.526 ◽

2017 ◽

Vol 50 (1) ◽

pp. 1754-1759 ◽

Cited By ~ 3

Author(s):

Christos K. Verginis ◽

Matteo Mastellaro ◽

Dimos V. Dimarogonas

Keyword(s):

Research Council ◽

Cooperative Manipulation ◽

Horizon 2020 ◽

Swedish Research Council ◽

Research And Innovation

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Optimal discrete time control of antiangiogenic tumor therapy * *This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 679681). D.A. Drexler was also supported by a Marie Curie International Research Staff Exchange Scheme Fellowship within the 7th European Community Framework Programme, FP7-PEOPLE-2012-IRSES-316338.

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2017.08.2337 ◽

2017 ◽

Vol 50 (1) ◽

pp. 13504-13509 ◽

Cited By ~ 4

Author(s):

Dániel András Drexler ◽

Johanna Sápi ◽

Levente Kovács

Keyword(s):

Research Council ◽

Tumor Therapy ◽

Framework Programme ◽

Marie Curie ◽

Research Staff ◽

Horizon 2020 ◽

Research And Innovation ◽

Time Control ◽

Staff Exchange ◽

Programme Grant

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Platoon Merging Distance Prediction using a Neural Network Vehicle Speed Model * *The research leading to these results has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 674875., VINNOVA within the FFI program under contract 2014-06200, the Swedish Research Council, Knut and Alice Wallenberg Foundation and the Swedish Foundation for Strategic Research.

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2017.08.569 ◽

2017 ◽

Vol 50 (1) ◽

pp. 3720-3725 ◽

Cited By ~ 2

Author(s):

Mladen Čičić ◽

Kuo-Yun Liang ◽

Karl Henrik Johansson

Keyword(s):

Neural Network ◽

Research Council ◽

Vehicle Speed ◽

Strategic Research ◽

Horizon 2020 ◽

Swedish Research Council ◽

Research And Innovation ◽

Distance Prediction

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Robust Distance-Based Formation Control of Multiple Rigid Bodies with Orientation Alignment * *This work was supported by the H2020 ERC Starting Grand BU-COPHSYS, the Swedish Research Council (VR), the Knut och Alice Wallenberg Foundation and the European Union’s Horizon 2020 Research and Innovation Programme under the Grant Agreement No. 644128 (AEROWORKS).

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2017.08.2104 ◽

2017 ◽

Vol 50 (1) ◽

pp. 15458-15463 ◽

Cited By ~ 3

Author(s):

Alexandros Nikou ◽

Christos K. Verginis ◽

Dimos V. Dimarogonas

Keyword(s):

Formation Control ◽

Research Council ◽

Rigid Bodies ◽

Horizon 2020 ◽

Swedish Research Council ◽

Research And Innovation

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Multi-Agent Motion Planning and Object Transportation under High Level Goals * *This work was supported by the H2020 ERC Starting Grand BU-COPHSYS, the Swedish Research Council (VR), the Knut och Alice Wallenberg Foundation and the European Union’s Horizon 2020 Research and Innovation Programme under the Grant Agreement No. 644128 (AEROWORKS)

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2017.08.2325 ◽

2017 ◽

Vol 50 (1) ◽

pp. 15816-15821

Author(s):

Christos K. Verginis ◽

Dimos V. Dimarogonas

Keyword(s):

Motion Planning ◽

Research Council ◽

Horizon 2020 ◽

Swedish Research Council ◽

Research And Innovation ◽

Multi Agent ◽

Object Transportation ◽

High Level

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Separation in Coupled Event-Triggered Networked Control Systems * *This project has received funding from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under grant agreement No 674875.

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2017.08.2451 ◽

2017 ◽

Vol 50 (1) ◽

pp. 15325-15330

Author(s):

Precious Ugo Abara ◽

Sandra Hirche

Keyword(s):

Control Systems ◽

Networked Control Systems ◽

Networked Control ◽

Framework Programme ◽

Horizon 2020 ◽

Research And Innovation ◽

Event Triggered

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Fractional Order PID-type Feedback in Fixed Point Transformation-based Adaptive Control of the FitzHugh-Nagumo Neuron Model with Time-delay ⁎ ⁎This project has received funding from the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation programme (grant agreement No 679681). Tamás Faitli has been supported by the “New National Excellence Program of the Ministry of Human Capacities”, application number UNKP-17-1-I, for the period 01 September 2017 – 30 June 2018.

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2018.06.108 ◽

2018 ◽

Vol 51 (4) ◽

pp. 906-911 ◽

Cited By ~ 2

Author(s):

József K. Tar ◽

János F. Bitó ◽

Levente Kovács ◽

Tamás Faitli

Keyword(s):

Fixed Point ◽

Adaptive Control ◽

Research Council ◽

Neuron Model ◽

European Research ◽

Horizon 2020 ◽

Research And Innovation ◽

Fractional Order Pid ◽

Programme Grant ◽

Type Feedback

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Optimal PID Based Computed Torque Control of Tumor Growth Models ⁎ ⁎This project has received funding from the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation programme (grant agreement No 679681). B.G. Czak was supported by the UNKP-17-2/I. New National Excellence Program of the Ministry of Human Capacities.

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2018.06.109 ◽

2018 ◽

Vol 51 (4) ◽

pp. 900-905

Author(s):

Bence G. Czakó ◽

Johanna Sápi ◽

Levente Kovács

Keyword(s):

Research Council ◽

Growth Models ◽

Torque Control ◽

European Research ◽

Horizon 2020 ◽

Research And Innovation ◽

Computed Torque Control ◽

Tumor Growth Models ◽

Programme Grant ◽

Computed Torque

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A bicompartmental dynamic tumor growth model * *This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 679681). Dávid Csercsik received funding from the Hungarian National Fund (OTKA NF-104706).

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2017.08.2119 ◽

2017 ◽

Vol 50 (1) ◽

pp. 12216-12221

Author(s):

Dávid Csercsik ◽

Johanna Sápi ◽

Levente Kovács

Keyword(s):

Tumor Growth ◽

Growth Model ◽

Research Council ◽

European Research ◽

European Research Council ◽

Horizon 2020 ◽

Research And Innovation ◽

Tumor Growth Model ◽

Programme Grant

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On-line updating of cyclostationary tools for fault detection in rotating machines - the filter bank approach * *This work is supported by the Framework Programme for Research and Innovation Horizon 2020 under grant agreement n. 636834 (DISIRE - Integrated Process Control based on Distributed In-Situ Sensors into Raw Material and Energy Feedstock)

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2017.08.854 ◽

2017 ◽

Vol 50 (1) ◽

pp. 4702-4707 ◽

Cited By ~ 1

Author(s):

Piotr Kruczek ◽

Jakub Obuchowski ◽

Agnieszka Wylomanska ◽

Radoslaw Zimroz

Keyword(s):

Fault Detection ◽

Filter Bank ◽

Raw Material ◽

Framework Programme ◽

Integrated Process ◽

Horizon 2020 ◽

Research And Innovation ◽

In Situ Sensors ◽

On Line

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